Real Skill packageSource verifiedClawHub registry

results-statistics-convention-checker

用于诊断英文心理学论文 Results（结果）部分的统计报告规范，检查 M、SD、t(df)、F(df1, df2)、p 值、效应量（Cohen's d、partial η²、r 等）、置信区间的报告格式与完整性，以及统计结果与文字描述的一致性，判断是否符合 APA 风格统计报告习惯。当用户提供 Results 草稿并希望检查统计报告格式、补充效应量或置信区间、核对统计量与文字描述是否一致、或需要按 APA 格式改写统计结果陈述时触发本 Skill。仅针对 Results 部分的统计报告写作规范，不替代统计计算本身。

Identity and source

Publisher attributionxxx031211registry owner unverified by skillvetai
Functional categoryWriting, Content & Translationautomatically inferred · 59% rule confidence
Package forminstruction bundle12 recorded files
Canonical sourceClawHub registryclawhub:xxx031211:results-statistics-convention-checker
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/26/2026.claude/skills/results-statistics-convention-checker

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/26/2026.agents/skills/results-statistics-convention-checker

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/26/2026skills/results-statistics-convention-checker

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @xxx031211/results-statistics-convention-checker
clawhub inspect @xxx031211/results-statistics-convention-checker --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
11 / 12 inspected as text
Checked
8/26/2026, 2:00:47 AM
Scanner
0.1.3
Policy
1.0.3
1 inferred permission indicators
  • network access — automatically inferred
1 dependency and API indicators
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/25/2026, 2:41:29 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:c5840099e904b8e7f04bdc3811d44a772f1d1cb298890d5ce7beb8f7cf9352ed
Show up to 12 recorded paths
  • eval1/report.md
  • eval1/report(1).md
  • results-statistics-convention-checker.skill
  • results-statistics-convention-checker/references/checklist.md
  • results-statistics-convention-checker/references/examples/examples.md
  • results-statistics-convention-checker/references/rubric.md
  • results-statistics-convention-checker/SKILL.md
  • results-statistics-convention-checker/tests/test_input.md
  • results-statistics-convention-checker/tests/test_output.md
  • skill-card.md
  • SKILL.md
  • 交付说明_results-statistics-convention-checker.md

Source changelog

results-statistics-convention-checker v1.0.0 – Initial release. - Provides automated checks for the statistical reporting conventions in psychology Results sections, focused on APA style. - Detects issues with reporting of descriptive statistics (M, SD), inferential statistics (t, F, χ², r, β), p values, effect sizes, and confidence intervals. - Compares text against bundled best-practice and problem examples; assigns a rubric-based score (1–5) for reporting quality. - Outputs detailed, itemized feedback — including problem evidence, example IDs, concrete revision suggestions (with Before/After), and prioritized recommendations. - Targets only the Results section and does not perform statistical recalculation or check design/method choices.